Senior Process Analyst, Warehouse & Distribution

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at .

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

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Fueled by innovation at the intersection of biology and technology were developing the next generation of smarter less invasive more personalized treatments.

Your unique talents will help patients on their journey to wellness. Learn more at Senior Process Analyst is responsible for identifying analyzing and implementing opportunities to improve warehouse performance productivity service levels cost efficiency and process reliability. This role uses data Lean principles logistics system insights and cross-functional collaboration to optimize core distribution processes including receiving put-away replenishment picking packing shipping inventory control returns and value-added services.

The role serves as a key partner to Warehouse Operations Engineering Quality Finance IT Planning Transportation and Facilities Management partners to translate operational data into actionable improvements. The Senior Analyst will support daily performance routines continuous improvement initiatives automation opportunities standard work and strategic projects that enable safe compliant efficient and customer-focused warehouse operations.

Key Responsibilities:

Warehouse Performance Analytics

• Develop maintain and improve warehouse performance dashboards scorecards and reporting routines for key metrics such as productivity order cycle time on-time shipment inventory accuracy pick/pack accuracy dock performance labor utilization cost per order cost per line and rework. Operations scope includes inbound domestic outbound international/export outbound and domestic returns.

• Analyze operational data from warehouse management systems transportation systems ERP systems labor management tools and manual inputs to identify trends root causes bottlenecks and improvement opportunities.

• Translate data insights into clear recommendations business cases and action plans for warehouse leadership and cross-functional stakeholders.

• Support performance reviews daily management systems monthly business reviews and leadership updates with accurate timely and actionable analysis.

Process Improvement and Operational Excellence

• Lead or support continuous improvement initiatives focused on reducing waste improving flow increasing throughput reducing damage/defects and improving service reliability.

• Apply Lean Six Sigma root cause analysis process mapping time studies and standard work methodologies to improve warehouse processes.

• Partner with operations leaders engineering & process excellence partners and frontline teams to evaluate current-state processes design future-state workflows pilot improvements and sustain results.

• Identify opportunities to improve slotting replenishment logic pick path efficiency labor balancing dock scheduling inventory control routines returns processing and value-added service workflows.

Systems Automation and Digital Enablement

• Partner with IT Engineering Operations and external partners to improve warehouse system functionality reporting accuracy and digital tools.

• Support automation robotics warehouse management system enhancements labor management tools and self-service analytics capabilities.

• Define business requirements validate data outputs support user acceptance testing and assist with deployment of process or system changes.

• Create and maintain standard operating procedures work instructions training materials and process documentation to support consistent execution.

Project/Portfolio Management and Cross-Functional Collaboration

• Lead or support warehouse efficiency projects from opportunity identification through implementation including project planning stakeholder alignment milestone tracking risk management and benefits validation.

• Collaborate with Warehouse Operations Quality Planning Transportation Finance Customer Service Engineering IT and Facilities partners to deliver aligned solutions.

• Support cost improvement projects capacity planning labor planning productivity initiatives and operational readiness for new products new processes or network changes.

• Communicate project status risks decisions and results to leaders and stakeholders in a clear and structured manner.

• Directly manage project/investment tracking and purchase orders through gCraft Planisware and related systems.

Compliance Quality Safety and Controls

• Align with applicable quality safety regulatory security audit and internal control requirements.

• Partner with Quality and Operations to investigate process deviations service incidents inventory variances and recurring defects; support corrective and preventive actions.

• Promote a culture of safety compliance continuous improvement and data-driven decision making across warehouse operations.

• Maintain accurate documentation and evidence of process changes approvals training and benefits realization as required.

Qualifications:

• Bachelors degree in Supply Chain Operations Management Industrial Engineering Business Analytics Logistics Engineering or a related field required; advanced degree preferred.

• A minimum of 4 or more years of experience in warehouse operations distribution logistics supply chain analytics process improvement industrial engineering or related operational roles is required.

• Experience working in a regulated complex or high-volume distribution environment preferred.

• Experience with warehouse management systems ERP systems data visualization tools and process improvement methodologies preferred.

• Lean Six Sigma Green Belt APICS project management or related certification preferred.

• Strong analytical capability with the ability to interpret complex data identify root causes and convert findings into practical operational actions.

• Advanced proficiency with Excel and experience with tools such as Power BI Tableau Alteryx SQL SAP warehouse management systems or labor management systems.

• Knowledge of warehouse processes including receiving put-away replenishment slotting picking packing shipping returns inventory control and value-added services.

• This role may require occasional travel (less than 10%). The role operates in both office and warehouse environments and will require time on the warehouse floor to observe processes conduct studies support implementation and engage with operations teams.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource. If you are under 18 years of age you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment as well as get a parents consent for the background check.

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